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A novel meta-analytic approach: Mining frequent co-activation patterns in neuroimaging databases

Julian Caspers, Karl Zilles, Christoph Beierle, Claudia Rottschy, Simon B. Eickhoff
2014 NeuroImage  
In recent years, coordinate-based meta-analyses have become a powerful and widely used tool to study coactivity across neuroimaging experiments, a development that was supported by the emergence of large-scale  ...  Analysis (MKDA) reveal all brain regions that show convergent activity within a dataset without taking into account actual within-experiment co-occurrence patterns.  ...  ), the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (Human Brain Model to K.Z. and S.B.E.) and the Helmholtz Alliance for Mental Health in  ... 
doi:10.1016/j.neuroimage.2013.12.024 pmid:24365675 pmcid:PMC4981640 fatcat:4ilkwknjbzd37iu4wxnos2ue5i

Networks of task co-activations

Angela R. Laird, Simon B. Eickhoff, Claudia Rottschy, Danilo Bzdok, Kimberly L. Ray, Peter T. Fox
2013 NeuroImage  
Recent progress in neuroimaging informatics and meta-analytic techniques has enabled a novel domain of human brain connectomics research that focuses on task-dependent co-activation patterns across behavioral  ...  Here, we review studies utilizing the BrainMap database to investigate data trends in the activation literature using methods such as meta-analytic connectivity modeling (MACM), connectivity-based parcellation  ...  activation patterns from 7342 neuroimaging experiments (1687 publications) archived in the BrainMap database.  ... 
doi:10.1016/j.neuroimage.2013.04.073 pmid:23631994 pmcid:PMC3720689 fatcat:cuvn3rpsk5dxdmwhrrvd7pmwai

PaMiNI-Derived Co-Activation Patterns Indicate Differential Hierarchical Levels for Two Ventral Visual Areas of the Fusiform Gyrus

J. Caspers, S. Eickhoff, K. Amunts, G. Antoch, K. Zilles
2015 RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (Print)  
approach, named PaMiNI ("Pattern Mining in NeuroImaging") [9].  ...  PaMiNI ("Pattern Mining in NeuroImaging") enables the identification of frequent co-activation patterns from the stereotaxic coordinates in a set of neuroimaging experiments by a twostep procedure based  ... 
doi:10.1055/s-0041-105062 pmid:26415113 fatcat:p3juti4xbncdhgsebrj3f6leya

Human neuroimaging as a "Big Data" science

John Darrell Van Horn, Arthur W. Toga
2013 Brain Imaging and Behavior  
A range of neuroimaging databasing approaches has streamlined the transmission, storage, and dissemination of data from such brain imaging studies.  ...  In this article, we discuss how modern neuroimaging research represents a mutifactorial and broad ranging data challenge, involving the growing size of the data being acquired; sociologial and logistical  ...  Acknowledgments This article was supported by a P41 (RR013642) award from the National Institute for General Medicine (NIGMS), through the National Institutes of Health Roadmap for Medical Research (U54  ... 
doi:10.1007/s11682-013-9255-y pmid:24113873 pmcid:PMC3983169 fatcat:vrbn7rrx2zbsvah6c5hssu5upa

ALE meta-analysis workflows via the BrainMap database: Progress towards a probabilistic functional brain atlas

Angela R. Laird
2009 Frontiers in Neuroinformatics  
BrainMap was designed to facilitate quantitative meta-analysis of neuroimaging results reported in the literature and supports the use of the activation likelihood estimation (ALE) method.  ...  In this paper, we present a discussion of the potential analyses that are possible using the BrainMap database and coordinate-based ALE meta-analyses, along with some examples of how these tools can be  ...  Each of these novel meta-analytic applications was carried out using typical ALE analysis parameters, and many of them involved the comparison of multiple meta-analyses.  ... 
doi:10.3389/neuro.11.023.2009 pmid:19636392 pmcid:PMC2715269 fatcat:ycjscysglncfzkrue2oybvrz3u

Meta-analytic connectivity and behavioral parcellation of the human cerebellum

Michael C. Riedel, Kimberly L. Ray, Anthony S. Dick, Matthew T. Sutherland, Zachary Hernandez, P. Mickle Fox, Simon B. Eickhoff, Peter T. Fox, Angela R. Laird
2015 NeuroImage  
Hierarchical clustering was performed to meta-analytically identify cerebellar structures with similar cortical co-activation, and independently, with similar correlations to specific behavioral tasks.  ...  Strong correspondences were observed in these separate but parallel analyses of meta-analytic connectivity and behavioral metadata.  ...  Behavioral meta-analyses Cerebellar behavioral metadata histograms The BrainMap database provides not only the ability to examine the meta-analyticco-activation of a given ROI via its co-activation patterns  ... 
doi:10.1016/j.neuroimage.2015.05.008 pmid:25998956 pmcid:PMC4512917 fatcat:agmfejpv25ccrfkkk32ztxyq6e


Yoshiyuki UEDA, Sachio OTSUKA, Jun SAIKI
2021 Psychologia  
To explain the cultural variability of attention, we postulated a general hypothesis of cultural adaptation, which assumes that the attentional mechanism co-evolves with objects in our environment.  ...  We employed a three-level approach composed of hypothesis-driven experiments, a large-scale database platform gathering results from various parts of the world ("Kokoro World Map"), and corpus-based analyses  ...  Text Mining Approach on a Large-Scale Database According to the text mining approach, in this study, we introduced several studies using topic modeling with latent Dirichlet allocation (LDA; Blei et al  ... 
doi:10.2117/psysoc.2021-b015 fatcat:oswsirj6urdwtjchftbrntt4qe

Is it time to re-prioritize neuroimaging databases and digital repositories?

John Darrell Van Horn, Arthur W. Toga
2009 NeuroImage  
A range of neuroimaging databasing approaches has streamlined the transmission, storage, and dissemination of data from such brain imaging studies.  ...  In this article, we review the progress made in neuroimaging databases, their role in data sharing, data management, potential for the construction of brain atlases, recording data provenance, and value  ...  Acknowledgments The authors express their gratitude to our colleagues in the Laboratory of Neuro Imaging (LONI) and those collaborators at our partner laboratories who utilize LONI database and computational  ... 
doi:10.1016/j.neuroimage.2009.03.086 pmid:19371790 pmcid:PMC2754579 fatcat:qxjviytffrexbf7wrn2xfkrns4

Brain‐based ranking of cognitive domains to predict schizophrenia

Teresa M. Karrer, Danielle S. Bassett, Birgit Derntl, Oliver Gruber, André Aleman, Renaud Jardri, Angela R. Laird, Peter T. Fox, Simon B. Eickhoff, Olivier Grisel, Gaël Varoquaux, Bertrand Thirion (+1 others)
2019 Human Brain Mapping  
We then examined how the ensuing meta-analytic cognitive priors can distinguish patients and controls using brain morphology and intrinsic functional connectivity.  ...  Aiming at a predictive benchmark of a catalog of cognitive functions, we developed a data-driven machine-learning strategy and provide a proof of principle in a multisite clinical dataset (n = 324).  ...  To evaluate the cognitive meta-priors for their usefulness in predicting which brain scan belongs to a schizophrenia patients, we developed a novel machine-learning approach.  ... 
doi:10.1002/hbm.24716 pmid:31313451 fatcat:s7loiptb6ba7fiiwsjj42k63ka

Towards a new approach to reveal dynamical organization of the brain using topological data analysis

Manish Saggar, Olaf Sporns, Javier Gonzalez-Castillo, Peter A. Bandettini, Gunnar Carlsson, Gary Glover, Allan L. Reiss
2018 Nature Communications  
Most previous work has focused on analyzing changes in co-fluctuations between a set of brain regions over several temporal segments of the data.  ...  In summary, our approach distills complex brain dynamics into interactive and behaviorally relevant representations.  ...  The CMP data used in this work were originally collected by Gonzalez-Castillo et al. 34 .  ... 
doi:10.1038/s41467-018-03664-4 pmid:29643350 pmcid:PMC5895632 fatcat:cxbund33zjbf3ilvlenezp5rye

Meta-analytic clustering of the insular cortex

Franco Cauda, Tommaso Costa, Diana M.E. Torta, Katiuscia Sacco, Federico D'Agata, Sergio Duca, Giuliano Geminiani, Peter T. Fox, Alessandro Vercelli
2012 NeuroImage  
Little is known about the organization of the insula when involved in active tasks. We explored this issue using a novel meta-analytic clustering approach.  ...  We used meta-analytic connectivity modeling and meta-analytic clustering of data obtained from the BrainMap database.  ...  It then calculates the meta-analytic connectivity, using MACM; in other words, for each voxel, it calculates the co-occurrence of foci: considering the experiments activating that insular voxel, which  ... 
doi:10.1016/j.neuroimage.2012.04.012 pmid:22521480 pmcid:PMC4782788 fatcat:7msgxoa4mrgozfwfi6s5vhnszi

Co-Activation-Based Parcellation of the Lateral Prefrontal Cortex Delineates the Inferior Frontal Junction Area

Paul S. Muhle-Karbe, Jan Derrfuss, Margaret T. Lynn, Franz X. Neubert, Peter T. Fox, Marcel Brass, Simon B. Eickhoff
2015 Cerebral Cortex  
A seed region, oriented along the left inferior frontal sulcus (IFS), was subdivided via cluster analyses of voxel-wise whole-brain co-activation patterns.  ...  Here, we employed a meta-analytic parcellation of the left LPFC to show that the IFJ can be isolated based on its specific functional connections.  ...  Meta-Analytic Co-Activation Modeling In the first analysis step, a whole-brain co-activation profile was generated for each voxel within the VOI.  ... 
doi:10.1093/cercor/bhv073 pmid:25899707 pmcid:PMC4830296 fatcat:fhp4jz42njh6plfoagahfw57e4

Functional grouping and cortical–subcortical interactions in emotion: A meta-analysis of neuroimaging studies

Hedy Kober, Lisa Feldman Barrett, Josh Joseph, Eliza Bliss-Moreau, Kristen Lindquist, Tor D. Wager
2008 NeuroImage  
We performed an updated quantitative meta-analysis of 162 neuroimaging studies of emotion using a novel multi-level kernel-based approach, focusing on locating brain regions consistently activated in emotional  ...  While multiple areas of frontal cortex co-activated with amygdala subregions, a specific region of dorsomedial prefrontal cortex (dmPFC, Brodmann's Area 9/32) was the only area co-activated with both PAG  ...  This research and the preparation of this manuscript were supported in part by National Science  ... 
doi:10.1016/j.neuroimage.2008.03.059 pmid:18579414 pmcid:PMC2752702 fatcat:prcidqbbbrasjccp2rkurirgie

A computational knowledge engine for human neuroscience [article]

Elizabeth Beam, Christopher Potts, Russell A. Poldrack, Amit Etkin
2019 bioRxiv   pre-print
approach to derive a data-driven ontology for neurobiological domains that synthesizes the texts and data of nearly 20,000 human neuroimaging articles.  ...  Functional neuroimaging has been a mainstay of human neuroscience for the past 25 years.  ...  and negative affective valence. 28 Nonetheless, our meta-analytic approach has the advantage of accounting for functional similarities and differences on the whole-brain scale in human subjects.  ... 
doi:10.1101/701540 fatcat:qkthyayuy5bd3lgcokrlidiitq

Progress toward openness, transparency, and reproducibility in cognitive neuroscience

Rick O. Gilmore, Michele T. Diaz, Brad A. Wyble, Tal Yarkoni
2017 Annals of the New York Academy of Sciences  
The emergence and rapid growth of data archives, meta-analytic tools, software pipelines, and research groups devoted to improved methodology reflects this new sensibility.  ...  At the same time, there is a renewed focus on reproducibility, transparency, and openness as essential core values in cognitive neuroscience.  ...  Neurosynth ( 26 takes an alternative approach to meta-analysis in which the raw data are i) activation (x,y,z) coordinates mined from the text of imaging papers published in HTML on the  ... 
doi:10.1111/nyas.13325 pmid:28464561 pmcid:PMC5545750 fatcat:cxx2gucyvjet7b4222unanl6aq
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